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Python Data Science Handbook: Essential Tools for Working with Data
For many researchers, Python is a first-class tool mainly because of its libraries for storing, manipulating, and gaining insight from data. Several resources exist for individual pieces of this data …
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Hands-On Machine Learning with Scikit-Learn and TensorFlow
A series of Deep Learning breakthroughs have boosted the whole field of machine learning over the last decade. Now that machine learning is thriving, even programmers who know close to nothing about t…
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Deep Learning with Python
4.56 avg. rating
· 1276 Ratings
Deep learning is applicable to a widening range of artificial intelligence problems, such as image classification, speech recognition, text classification, question answering, text-to-speech, and opti…
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Python for Data Analysis
4.17 avg. rating
· 1793 Ratings
Python for Data Analysis is concerned with the nuts and bolts of manipulating, processing, cleaning, and crunching data in Python. It is also a practical, modern introduction to scientific computing i…
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R for Data Science: Import, Tidy, Transform, Visualize, and Model Data
Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make …
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Automate the Boring Stuff with Python: Practical Programming for Total Beginners
If you've ever spent hours renaming files or updating hundreds of spreadsheet cells, you know how tedious tasks like these can be. But what if you could have your computer do them for you?

In "Automate…
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Fluent Python: Clear, Concise, and Effective Programming
Python's simplicity lets you become productive quickly, but this often means you aren't using everything it has to offer. With this hands-on guide, you'll learn how to write effective, idiomatic Pytho…
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Data Science from Scratch: First Principles with Python

Data science libraries, frameworks, modules, and toolkits are great for doing data science, but they’re also a good way to dive into the discipline without actually understanding data science. In this…

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Thinking in Java
4.16 avg. rating
· 1973 Ratings
Thinking in Java is a printed version of Bruce Eckel's online materials that provides a useful perspective on mastering Java for those with previous programming experience. The author's take on the es…
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Operating System Concepts
3.97 avg. rating
· 1667 Ratings
The tenth edition of has been revised to keep it fresh and up-to-date with contemporary examples of how operating systems function, as well as enhanced interactive elements to improve learning and the…
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The Goal: A Process of Ongoing Improvement
Bất cứ ai nếu coi mình là nhà quản lý hãy nhanh chân lên để có được cuốn sách này và hãy đọc nó đừng chậm trễ. Nếu bạn chỉ đơn giản ở cương vị phải đọc nó, thì sự tiến bước của bạn trên con đường tới …
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Introducing Python: Modern Computing in Simple Packages
With Introducing Python, Bill Lubanovic brings years of knowledge as a programmer, system administrator, and author to a book of impressive depth that remains fun to read and simple enough for non-pro…
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The God Equation: The Quest for a Theory of Everything
When Newton discovered the law of gravity, he unified the rules governing the heavens and the Earth. Since then, physicists have been placing new forces into ever-grander theories. But perhaps the ult…
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Learning Python
4.02 avg. rating
· 2300 Ratings
Portable, powerful, and a breeze to use, Python is the popular open source object-oriented programming language used for both standalone programs and scripting applications. Python is considered easy …
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Why Machines Learn: The Elegant Math Behind Modern AI
A rich, narrative explanation of the mathematics that has brought us machine learning and the ongoing explosion of artificial intelligence

Machine learning systems are making life-altering decisions fo…
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AI Engineering: Building Applications with Foundation Models
Recent breakthroughs in AI have not only increased demand for AI products, they've also lowered the barriers to entry for those who want to build AI products. The model-as-a-service approach has trans…
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Generative Deep Learning: Teaching Machines to Paint, Write, Compose, and Play
Generative modeling is one of the hottest topics in artificial intelligence. Recent advances in the field have shown how it's possible to teach a machine to excel at human endeavors--such as drawing, …
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Practical Statistics for Data Scientists: 50+ Essential Concepts Using R and Python
Statistical methods are a key part of data science, yet few data scientists have formal statistical training. Courses and books on basic statistics rarely cover the topic from a data science perspecti…
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Build a Large Language Model (From Scratch)
Learn how to create, train, and tweak large language models (LLMs) by building one from the ground up!

In Build a Large Language Model (from Scratch), you’ll discover how LLMs work from the inside out.…
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Think Python
4.17 avg. rating
· 1098 Ratings
Post Press, Pub Date :2013-08-01 328 People Post Press " think like a computer scientist like Python" like a computer scientist by training readers the same way of thinking of ideas to teach the Pytho…
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Head First Design Patterns
4.29 avg. rating
· 8008 Ratings
You're not alone.

At any given moment, somewhere in the world someone struggles with the same software design problems you have. You know you don't want to reinvent the wheel (or worse, a flat tire),…
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